| DC Field | Value | Language |
|---|
| dc.contributor.author | Zhuk, A. | - |
| dc.contributor.author | Ablameyko, S. | - |
| dc.contributor.author | Абламейко, С. В. | - |
| dc.date.accessioned | 2021-11-18T06:41:29Z | - |
| dc.date.available | 2021-11-18T06:41:29Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Zhuk, A. Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network / Zhuk A., Ablameyko S. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 119–122. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/45943 | - |
| dc.description.abstract | The paper proposes an approach to detect discrete objects on images, namely buildings using the U-NET neural network. The main idea of our approach is to use additional augmentations during model learning. The experiments carried out have shown good results. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | UIIP NASB | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | conference proceedings | ru_RU |
| dc.subject | object detection | ru_RU |
| dc.subject | satellite images | ru_RU |
| dc.subject | neural network | ru_RU |
| dc.subject | U-Net | ru_RU |
| dc.subject | data set | ru_RU |
| dc.subject | data augmentations | ru_RU |
| dc.title | Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)
|
